The objective of this course is to provide graduate-level students (1) an overview of various experimental designs and problem conceptualization methods used in research and in the real-world environment (i.e., "See the Forest not just Trees" -- it's all about the SYSTEM!!), and (2) proper and practical statistical methods applicable to multidisciplinary engineering problems with an environmental engineering stress. Fundamental and general concepts on system characterization adn statistics will be reviewed in the beginning part of the semester, then progresses rapidly into various statistical methods applicable to research/project activities such as experiment/sample design strategies, test of hypotheses, and the analysis aspect including regression and correlation, analysis of variance, nonparametric statistics, and probability distributions -- to consummate "Why would/should I" prior- and "What am I going to do with" posterior-conditions. Emphasis will be equally on concepts and applications. Statistical Analysis Systems (SAS) software available in ODU HPC (High Performance Computing) cluster, VCL (Virtual Computer Lab) and MoVE (Monarch Virtual Environment) platforms will be heavily used for homework assignments and for the class project.     Syllabus Course Timeline Assignments Supplementary Intro to SAS SAS Sources Class Project Guideline Introduction to Unix Remote Access Guide to Turing HPC Server